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Update src/streamlit_app.py

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  1. src/streamlit_app.py +13 -1
src/streamlit_app.py CHANGED
@@ -66,7 +66,7 @@ score_cols = [f"T{i}" for i in range(1, 12)] + ["Avg"]
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  max_ranks = {col: df[f"{col}_rank"].max() for col in score_cols}
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  # ─── Tabs ──────────────────────────────────────────────────────────────────────
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- tab1, tab2 = st.tabs(["Leaderboard", "Benchmark Details"])
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  with tab1:
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  # st.markdown("**Leaderboard:** higher scores shaded green; best models bolded.")
@@ -127,3 +127,15 @@ with tab2:
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  """,
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  unsafe_allow_html=True
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  )
 
 
 
 
 
 
 
 
 
 
 
 
 
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  max_ranks = {col: df[f"{col}_rank"].max() for col in score_cols}
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  # ─── Tabs ──────────────────────────────────────────────────────────────────────
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+ tab1, tab2, tab3 = st.tabs(["πŸ†Leaderboard", "πŸ”Benchmark Details", "πŸ€–Submit Your Model"])
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  with tab1:
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  # st.markdown("**Leaderboard:** higher scores shaded green; best models bolded.")
 
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  """,
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  unsafe_allow_html=True
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  )
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+
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+ with tab3:
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+ st.markdown('## πŸ€– Submit your model information ')
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+ st.write(
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+ """
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+ We provide both public and private subsets of the dataset.
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+ We recommend starting with the public set for initial testing and development.
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+ You're welcome to submit your model for evaluation on the private set β€” just make sure to include your results on the public set.
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+
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+ πŸ‘‰ You can submit your model through the following link: [https://forms.gle/mWa6joCfgQnwXsxeA](https://forms.gle/mWa6joCfgQnwXsxeA)
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+ """
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+ )